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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 3218
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    details related to job opportunities and application processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    胳膊
    -0.55
    IntoConstraints
    -0.52
    berdayakan
    -0.50
    CppMethod
    -0.49
    英寸
    -0.48
     يتيمه
    -0.48
    事儿
    -0.48
    úgó
    -0.45
     employes
    -0.45
     nød
    -0.45
    POSITIVE LOGITS
     Singapore
    0.85
    Singapore
    0.73
     spoilt
    0.72
     learnt
    0.71
     Malaysian
    0.70
     Malaysia
    0.70
     hence
    0.67
     Johor
    0.65
     Penang
    0.65
     artistes
    0.63
    Activations Density 0.692%

    No Known Activations